Luigi Vanfretti

Associate Professor, Electrical, Computer, and Systems Engineering

Luigi Vanfretti (SMIEEE’14) obtained the M.Sc. and Ph.D. degrees in electric power engineering at Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively.

He was with KTH Royal Institute of Technology, Stockholm, Sweden, as Assistant 2010-2013), and Associate Professor (Tenured) and Docent (2013-2017/August); where he lead the SmarTS Lab and research group.

He also worked at Statnett SF, the Norwegian electric power transmission system operator, as consultant (2011 - 2012), and Special Advisor in R&D (2013 - 2016).

He joined Rensselaer Polytechnic Institute in August 2017, to continue to develop his research at ALSETLab, his laboratory at ECSE.

His research interests are in the area of synchrophasor technology applications; and cyber-physical power system modeling, simulation, stability and control.

Education
  • Post Doc., Rensselaer Polytechnic Institute, 2010. 

  • Ph.D in Electric Power Engineering, Rensselaer Polytechnic Institute, 2009. 

  • MSc in Electric Power Engineering, Rensselaer Polytechnic Institute, 2007. Major: Electric Power. Minor: Control Systems.

  • Visiting Researcher, The University of Glasgow, Fall 2005.

  • Electrical Engineering Degree, Universidad de San Carlos de Guatemala, Spring 2005.

Research Focus
  • electric power engineering
  • power systems
  • system identification
  • synchrophasor measurement technology and applications
  • modeling and simulation of physical and cyber-physical systems
  • physical and cyber-physical systems stability and control
  • real-time hardware-in-the-loop simulation
  • smart grid
Select Works
  • Luigi Vanfretti, Maxime Baudette and Austin D. White, Chapter 31 - Monitoring and Control of Renewable Energy Sources using Synchronized Phasor Measurements, In Renewable Energy Integration (Second Edition), edited by Lawrence E. Jones,, Academic Press, Boston, 2017, Pages 419-434, ISBN 9780128095928, https://doi.org/10.1016/B978-0-12-809592-8.00031-7. (http://www.sciencedirect.com/science/article/pii/B9780128095928000317) Keywords: Monitoring applications; PMU; Power system oscillations; Renewable energy resources; Sub-synchronous oscillations; Synchronized phasor measurements; Wind farm
  • Luigi Vanfretti, Svein H. Olsen, V.S. Narasimham Arava, Giuseppe Laera, Ali Bidadfar, Tin Rabuzin, Sigurd H. Jakobsen, Jan Lavenius, Maxime Baudette, Francisco J. Gómez-López, An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data, In Data in Brief, Volume 11, 2017, Pages 349-357, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2017.02.021. (http://www.sciencedirect.com/science/article/pii/S2352340917300409) Keywords: Electrical power systems; Electric power transmission; Smart grid; Power system modeling and simulation; Power system dynamics; Dynamic simulations; Power flow; Common Information Model (CIM); Modelica; Historical market data; Modeling; Simulation
  • Luigi Vanfretti, Maxime Baudette, Achour Amazouz, Tetiana Bogodorova, Tin Rabuzin, Jan Lavenius, Francisco José Goméz-López, RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models, SoftwareX, Volume 5, 2016, Pages 144-149, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2016.07.004. (http://www.sciencedirect.com/science/article/pii/S235271101630019X) Keywords: FMI; Modelica; Model validation; System identification
  • L. Vanfretti, T. Rabuzin, M. Baudette, M. Murad, iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations, SoftwareX, Volume 5, 2016, Pages 84-88, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2016.05.001. (http://www.sciencedirect.com/science/article/pii/S2352711016300097) Keywords: Modelica; Power system; Simulation
  • T. Bogodorova, L. Vanfretti, V. S. Perić and K. Turitsyn, "Identifying Uncertainty Distributions and Confidence Regions of Power Plant Parameters," in IEEE Access, vol. 5, pp. 19213-19224, 2017. doi: 10.1109/ACCESS.2017.2754346 keywords: {Atmospheric measurements;Modeling;Particle measurements;Power generation;Power system dynamics;Uncertainty;Confidence intervals;measurements;parameter identification;particle filters;power plant models;power system identification;power system model validation;power systems}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8045996&isnumber=7859429
  • T. Bogodorova and L. Vanfretti, "Model Structure Choice for a Static VAR Compensator under Modeling Uncertainty and Incomplete Information," in IEEE Access, vol. PP, no. 99, pp. 1-1. doi: 10.1109/ACCESS.2017.2758845 keywords: {Computational modeling;Data models;Mathematical model;Static VAr compensators;Transfer functions;Voltage measurement;Black-Box model;Identification;Model structure selection;Parameter estimation;Power system modeling;Static VAR Compensator}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8055536&isnumber=6514899
  • M.S. Almas, L. Vanfretti, M. Baudette, BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation, In SoftwareX, Volume 6, 2017, Pages 209-216, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2017.08.002. (http://www.sciencedirect.com/science/article/pii/S2352711017300328) Keywords: IEEE Std C37.118.2-2011; LabVIEW; Phasor measurement unit; Phasor data concentrator; Standard implementation; Synchrophasors; WAMS; WACS; WAPS; WAMPAC
  • M. S. Almas, L. Vanfretti, R. S. Singh and G. M. Jonsdottir, "Vulnerability of Synchrophasor-based WAMPAC Applications’ to Time Synchronization Spoofing," in IEEE Transactions on Smart Grid, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TSG.2017.2665461 keywords: {Clocks;Global Positioning System;Monitoring;Phasor measurement units;Real-time systems;Synchronization;Phasor measurement unit (PMU);power system protection;smart grid;spoofing;synchrophasors;time synchronization attack}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7845713&isnumber=5446437